```Date: Nov 28, 2012 6:27 PM
Author: Ray Koopman
Subject: Re: Results (!!) on average slopes and means for a1_N_1_C (complement<br> instead of core subset)

On Nov 28, 9:37 am, djh <halitsk...@att.net> wrote:> Results (!!) on average slopes and means for a1_N_1_C (complement> instead of core subset)>> Len> Int    Avg Slope       Mean u'>> 1   -2.225882168   0.482402362> 2   -2.315512399   0.469544417> 3   -0.769858117   0.485742217> 4   -1.697049757   0.451420560> 5   -2.069842267   0.459536902> 6   -4.427566827   0.457327711> 7   -0.941379623   0.458781950> 8   -2.069096413   0.445826306> 9   -1.620229799   0.442040277> 10  -3.764328472   0.449422937> 11  -7.882327621   0.458400090> 12  -11.82556530   0.458971482>> I don?t know if the above results, when compared to the results in the> previous post for a1_N_1_S, do or don?t indicate that your definition> of average slope is OK.>> As in the a1_N_1_S case, Mean(u?) inversely correlates with LenInt.>> But unlike the a1_N_1_S case, average slope ALSO inversely correlates> with LenInt.>> I can readily make a scientific interpretation of these two sets of> results, but don?t want to do so if you think that these two sets of> results indicate a problem with the definition of average slope.The plots look nice, but each point needs standard error bars.The average slope is  a1 + 2*a2*mean_x,  so its standard error issqrt[ var(a1) + 4*var(a2)*(mean_x)^2 + 4*cov(a1,a2)*mean_x ],with df = n-3.
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